Iris Scanner Identifies a Person 40 Feet Away
Iris Scanner Identifies a Person 40 Feet Away
Apr 10, 2015 02:27 PM ET by
Glenn McDonald
Police traffic stops are in the news again, tragically,
sparking a new round of discussion on whether and how to outfit police with
cameras and other technology.
For several years now, researchers at Carnegie Mellon
University’s CyLab Biometrics Center have been testing an iris recognition
system that can be used to identify subjects at a range of up to 40 feet.
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Like similar biometric technologies — fingerprint or
facial recognition systems — the Carnegie Mellon project uses mathematical
pattern-recognition techniques. The technology captures images from a live
photographic or video feed and runs them through a database to find a potential
match.
Like fingerprints, every iris is unique — thanks to
enormously complex patterns that remain the same throughout a person’s
lifetime. High-resolution cameras can capture images of the iris from a
distance using light in the near-infrared wavelength band.
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In the realm of law enforcement, iris recognition could
be used to identify suspects at long range in various lighting conditions. The
system can even be used to capture images through reflections in a mirror.
The CMU team recently posted a video successfully testing
the system in a typical traffic stop scenario. Using the long-range iris
scanner, the system was able to identify the driver of a vehicle by capturing
an image of the eye via the side-view mirror. You can see the results below.
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